Persistent memory storage for developer preferences and task learnings.

Install

mkdir -p .claude/skills/hindsight-local && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/3361" && unzip -o skill.zip -d .claude/skills/hindsight-local && rm skill.zip

Installs to .claude/skills/hindsight-local

Activation

This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.

Store user preferences, learnings from tasks, and procedure outcomes. Use to remember what works and recall context before new tasks. (user)
140 charsno explicit “when” trigger
Beginner

Key capabilities

  • Captures session learnings as structured facts
  • Links causal relationships between development events
  • Generates embeddings for semantic retrieval
  • Maintains local persistent state across sessions

How it works

Processes text input through an LLM to extract relationships, then embeds them for semantic storage in a local daemon.

Inputs & outputs

You give it
Development session context or observation
You get back
Stored persistent memory record

When to use hindsight-local

  • Saving project configuration preferences
  • Storing key takeaways from a debugging session
  • Recalling past procedure outcomes

About this skill

Hindsight Memory Skill (Local)

You have persistent memory via the hindsight-embed CLI. Proactively store learnings and recall context to provide better assistance.

Setup Check (First-Time Only)

Before using memory commands, verify Hindsight is configured:

uvx hindsight-embed daemon status

If this fails or shows "not configured", run the interactive setup:

uvx hindsight-embed configure

This will prompt for an LLM provider and API key. After setup, the commands below will work.

How Hindsight Works

When you call retain, Hindsight does not store the string as-is. The server runs an internal pipeline that:

  1. Extracts structured facts from the content using an LLM
  2. Identifies entities (people, tools, concepts) and links related facts
  3. Builds temporal and causal relationships between facts
  4. Generates embeddings for semantic search

This means you should pass rich, full-context content — the server is better at extracting what matters than a pre-summarized string. Your job is to decide when to store, not what to extract.

Commands

Store a memory

Use memory retain to store what you learn. Pass the full context — raw observations, session notes, conversation excerpts, or detailed descriptions:

uvx hindsight-embed memory retain default "User is working on a TypeScript project. They enabled strict mode and prefer explicit type annotations over inference."
uvx hindsight-embed memory retain default "Ran the test suite with NODE_ENV=test. Tests pass. Without NODE_ENV=test, the suite fails with a missing config error." --context procedures
uvx hindsight-embed memory retain default "Build failed on Node 18 with error 'ERR_UNSUPPORTED_ESM_URL_SCHEME'. Switched to Node 20 and build succeeded." --context learnings

You can also pass a raw conversation transcript with timestamps:

uvx hindsight-embed memory retain default "[2026-03-16T10:12:03] User: The auth tests keep failing on CI but pass locally. Any idea?
[2026-03-16T10:12:45] Assistant: Let me check the CI logs. Looks like the tests are running without the TEST_DATABASE_URL env var set — they fall back to the production DB URL and hit a connection timeout.
[2026-03-16T10:13:20] User: Ah right, I never added that to the CI secrets. Adding it now.
[2026-03-16T10:15:02] User: That fixed it. All green now." --context learnings

Recall memories

Use memory recall BEFORE starting tasks to get relevant context:

uvx hindsight-embed memory recall default "user preferences for this project"
uvx hindsight-embed memory recall default "what issues have we encountered before"

Reflect on memories

Use memory reflect to synthesize context:

uvx hindsight-embed memory reflect default "How should I approach this task based on past experience?"

IMPORTANT: When to Store Memories

Always store after you learn something valuable:

User Preferences

  • Coding style (indentation, naming conventions, language preferences)
  • Tool preferences (editors, linters, formatters)
  • Communication preferences
  • Project conventions

Procedure Outcomes

  • Steps that successfully completed a task
  • Commands that worked (or failed) and why
  • Workarounds discovered
  • Configuration that resolved issues

Learnings from Tasks

  • Bugs encountered and their solutions
  • Performance optimizations that worked
  • Architecture decisions and rationale
  • Dependencies or version requirements

IMPORTANT: When to Recall Memories

Always recall before:

  • Starting any non-trivial task
  • Making decisions about implementation
  • Suggesting tools, libraries, or approaches
  • Writing code in a new area of the project

Best Practices

  1. Store immediately: When you discover something, store it right away
  2. Pass rich context: Include full observations, not pre-summarized strings — the server extracts facts automatically
  3. Include outcomes: Store what happened AND why, including failures and workarounds
  4. Recall first: Always check for relevant context before starting work
  5. Use --context for metadata: The --context flag labels the type of memory (e.g., procedures, learnings, preferences), not a replacement for full content

When not to use it

  • Scenarios requiring absolute data privacy (if storage is unencrypted)
  • Temporary tasks that do not benefit from historical recall

Prerequisites

uvxHindsight-embed CLILLM API Key

Limitations

  • Dependent on quality of input context
  • Requires initial configuration for each machine

How it compares

Provides a persistent, searchable brain that grows based on the user's specific development history.

Compared to similar skills

hindsight-local side by side with the closest alternatives in the catalog.

SkillInstallsUpdatedSafetyDifficulty
hindsight-local (this skill)15moReviewBeginner
notion-knowledge-capture109moNo flagsIntermediate
apple-reminders252moReviewBeginner
memory-keeper-proactive-context-maintenance69moReviewIntermediate

Try saying

Example prompts that trigger this skill in your AI assistant.

You might also like

notion-knowledge-capture

makenotion

Transforms conversations and discussions into structured documentation pages in Notion. Captures insights, decisions, and knowledge from chat context, formats appropriately, and saves to wikis or databases with proper organization and linking for easy discovery.

10115

apple-reminders

openclaw

Manage Apple Reminders via the `remindctl` CLI on macOS (list, add, edit, complete, delete). Supports lists, date filters, and JSON/plain output.

2593

memory-keeper-proactive-context-maintenance

b4CU-R4U

Automatically detect and maintain memory freshness by monitoring context staleness, significant code changes, task completions, and phase transitions. Proactively suggests and executes memory sync operations with user confirmation. Use when the user says "sync memory", "update context", or when the Skill detects that context is stale (>2 hours), significant changes have occurred (new commits), tasks completed, or major milestones reached. Replaces passive "context is stale" warnings with active maintenance.

694

notion-meeting-intelligence

openai

Prepare meeting materials with Notion context and Codex research; use when gathering context, drafting agendas/pre-reads, and tailoring materials to attendees.

656

agent-memory

yamadashy

Use this skill when the user asks to save, remember, recall, or organize memories. Triggers on: 'remember this', 'save this', 'note this', 'what did we discuss about...', 'check your notes', 'clean up memories'. Also use proactively when discovering valuable findings worth preserving.

943

apple-notes

openclaw

Manage Apple Notes via the `memo` CLI on macOS (create, view, edit, delete, search, move, and export notes). Use when a user asks OpenClaw to add a note, list notes, search notes, or manage note folders.

718

Search skills

Search the agent skills registry